Modern Data Stack Consulting
Your company scaled; your spreadsheets didn't. Quant Solvent designs and builds right-sized data platforms for small teams — ingestion, warehouse, tested transformations, dashboards — choosing the smallest stack that reliably answers your questions, not the one with the most logos.
What is a modern data stack?
A modern data stack is the set of cloud tools that move data from your operational systems into a central warehouse and turn it into trustworthy reporting: an ingestion/ELT tool, a cloud warehouse, a tested transformation layer, and a BI tool on top.
The catch: the reference architecture was designed for companies with data teams. A 10–50 person company copying it wholesale ends up paying enterprise licensing to answer small-company questions. The design decision that matters is right-sizing — which is a judgment call, and the reason to use a consultant who isn't reselling any of the tools.
Does a small company need Fivetran, dbt, and Snowflake?
Often not all three. At small scale, managed Postgres or a low-tier warehouse plus open-source ingestion and a lean, version-controlled transformation layer delivers the same decisions at a fraction of the cost. We've built both flavors; the Statement of Work tells you exactly which you need and why, with the cost model attached.
What we deliver
- Stack design with a defensible build-vs-buy decision per layer
- Ingestion pipelines from your operational systems, CRMs, and exports
- Tested, version-controlled transformation models — documentation included, you own the code
- Dashboards on the metrics that run the business
- Ongoing Platform Operations retainer — monitoring, reliability, and changes without a full-time hire
Frequently asked questions
What is a modern data stack?
A modern data stack is a set of cloud tools that move data from your operational systems into a central warehouse and turn it into reporting: an ingestion/ELT tool, a cloud warehouse (Snowflake, Databricks, BigQuery, or Postgres at small scale), a transformation layer (dbt-style, tested and version-controlled), and a BI/dashboard tool.
Does a small company need Fivetran, dbt, and Snowflake?
Often not all of them. At small scale, a managed Postgres or a low-tier warehouse plus open-source ingestion and a lean transformation layer can deliver the same decisions for a fraction of the licensing cost. The right stack is the smallest one that answers your questions reliably — we design for that, not for vendor logos.
How long does it take to stand up a data stack for a small company?
A focused build — core sources flowing into a warehouse with tested models and the first dashboards — typically lands in weeks. Scope, timeline, and cost are fixed in a written Statement of Work before work begins, turned around the same business day.
Who maintains the platform after it's built?
Either your team — you own all the code outright on payment — or Quant Solvent under a Platform Operations retainer: monitoring, pipeline reliability, cost management, and a monthly hour bank for changes.
We're a healthcare company — does that change the stack?
Yes: PHI changes platform eligibility (BAA coverage), access design, and audit requirements. Healthcare data is our core practice area — see Healthcare AI & LLM and RCM Automation.
Get a stack design you can defend to finance
Tell us your sources, your questions, and your budget. You'll get a right-sized architecture and a same-day Statement of Work.
Book a 30-minute intro call Prefer email? clayton@quantsolvent.co